He has beaten his expected points in 6 of 6 seasons. Whether that is a skill or a countdown decides what he is worth at 93.2 overall.
George Kittle scored 163.1 fantasy points in 2025. The volume he earned was worth 128.9. That gap of 34.2 points is the single most important thing to understand before drafting him at 93.2 overall.
Rather than reading a season average, it is worth finding the point the season actually turned. Our shift detector flags in-season changes large enough to clear a statistical threshold, then asks what moved around them.
The largest single move was Week 10: WOPR went up from 0.3 to 0.6, a 99.2% change, at 6.62 standard deviations. The cause was structural — the offense around him got sharply better. He also missed Weeks 2, 3, 4, 5, 6, 14, 17.
Year over year the engine classifies 2025 as a decline with more than one cause. That is the label to carry into the projection, because it separates a player who lost snaps from one who kept them and converted worse.
He finished 13.59 points per game on 71 targets — down 13.8% from his 2024 rate with SF. Every part of that is real and none of it is in dispute.
What is worth separating is how much of it he earned. Expected points strip out the finishing and ask a narrower question: given the targets he drew, where they came from on the field, and how far downfield they traveled, what was that usage worth? For 2025 the answer was 128.9 points — 10.7 per game. He scored 34.2 more than that, a 26.5% overshoot.
The expected line underneath the season was 51.2 catches for 532 yards and 4.1 touchdowns, and he cleared it.
Against the expected line, he finished 58 catches, 634 receiving yards, 7 touchdowns — against 51.2, 532, 4.1 expected.
51% of the entire gain came from touchdowns. He hit 171% of his expected touchdowns, against 113% of his expected catches and 119% of his expected receiving yards.
Not one of his 11 games cleared 25 points. His best was 24.7 in Week 11. He wins with volume rather than with weeks that swing a matchup.
A steady floor has its own value in a lineup that needs one. 3 games came in under 10 points, including Week 7 against ATL (0) and Week 9 against NYG (6.9).
The three largest overshoots — Week 11 (+13.8), Week 16 (+10), Week 10 (+7.1) — are the same games. The spikes were not extra volume. They were finishing.
2 of his 6 seasons ran hot: 2020 (+12.3%), 2021 (+17.7%). Across all 6 he has scored 261.2 points more than his usage was worth.
The reflexive read is regression. Finishing above expectation is unstable, and a player who does it repeatedly is usually one whose luck has not run out yet.
But an expected-points model has a specific blind spot, and it is worth naming: it converts usage at league-average rates. A target twenty yards downfield is worth what the average receiver does with a target twenty yards downfield. If a player is reliably better than average at winning a particular kind of target, he will beat the model every single year, and calling that luck is just mislabelling a skill.
So the question is not whether he beat the number. It is whether there is a mechanism.
Across 366 targets and four seasons, he has been a fundamentally different receiver depending on what the defense played. Against man he has caught 75% for 10.38 yards per target and 0.69 expected points added per target. Against zone: 77.2%, 10.36 yards, 0.594 EPA.
That is a gap of 0.095 EPA per target on a sample of 140 man targets against 224 zone. The catch rate goes the other way — he catches more against zone — which is exactly what you would expect from a receiver whose value is in winning contested downfield throws rather than in finding soft spots underneath.
The shell detail sharpens it. Cover 3 is the look he has faced most: 101 targets, 10.17 yards per target, 0.592 EPA. His best is 2-Man at 0.826 on 24 targets.
The weakness is specific. Against Cover 4 quarters he has caught 63.2% for 7.79 yards a target and 0.404 EPA across 38 looks — a gap of 0.4 expected points a target between his best coverage and his worst.
This does not prove the overshoot repeats. It does mean the pattern has a stated cause rather than being a coin that keeps landing heads.
Across 49 graded prop lines, he has gone over 61.2% of the time. On receiving yards specifically the number is 60.0% across 25 lines, beating the posted number by an average of 25.1%.
A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 60% of the time on the same market is a harder thing to explain away.
Touchdowns are the control. His anytime-TD market implied a 39.6% rate and he converted at 52.0% — a gap of 12.4 points, which is worth noting.
San Francisco returns 5 of 6 continuity slots — qb1, rb1, te1, hc, oc — with Brock Purdy at quarterback, Kyle Shanahan as head coach and Klay Kubiak calling it. The offense projects to 33.65 pass attempts a game at high confidence.
The pie is stable. His slice is the question. Our share model has him at 11.5% against the 20.1% he ran, with a range of 7.9% to 14%. The biggest competing claim on that pie is De'Zhaun Stribling at 16.1%, 4.6 points ahead of him.
That number is built from 16 comparable players — same age band, same prior share, same team, same coordinator — not from a depth chart. The closest three went Rob Gronkowski 14.8% to 17.3%, Zach Ertz 18.2% to 19.1%, Zach Ertz 19.6% to 17.9%. Two held, one did not.
Across 4,488 player-seasons we swept every stat for whether it predicts NEXT year's points, and kept only the ones that replicated in all five. target share (r 0.247), WOPR (r 0.218), air-yards share (r 0.142) carry. receiving EPA per game (r -0.127) and yards per target (r -0.114) and week-to-week volatility (r -0.075) run negative — a player who was hyper-efficient on low volume tends to come back down, so a gaudy per-touch number is a warning rather than a selling point.
So the figures worth weighing for him: a 20.2% target share, 17.5% of the air yards, a WOPR of 0.43, an 81.2% snap share. He averaged 3.81 yards of separation, with -0.06 YAC over expected.
Vegas sets an implied total for every team every week, and some offenses beat theirs systematically. Over 112 games, SF has come in +0.57 points against its own implied total, clearing it in 48% of weeks.
That is close to neutral — the offense performs about where the market expects, so there is no environment bonus or penalty to apply to him either way.
One related finding worth carrying: across 1,280 cases we measured what happens after a team's implied total slides, and the correlation is -0.37 — negative, meaning the market over-corrects. A falling team total is more often a buying window than a warning.
Our board has him at 160.4 points, 10.6 per game across 15.2 expected games — 59.1 catches, 737 yards, 4.6 touchdowns. That is TE3, 89 overall, and 6 points of value over a replacement starter.
It is a step down from 2025, and the reason is volume rather than efficiency. The projection assumes he keeps doing what he does on slightly fewer looks.
coming off a torn Achilles, but treated as close to zero real risk specifically because of his well-documented work ethic and training regimen — "if anyone can come back from this injury and return to form quickly, it's him." Top-2 in adjusted PPG each of the last two seasons, top-6 in 8 straight years — an unusually long track record of sustained elite production at a historically volatile position.
That is the current read. It is a change — in 2026-08 the position was HOLD: 3rd-most-rostered TE — buy despite Achilles recovery, trusts the specific injury-location/medical-timeline signal over the generic "major injury" discount…
It rests on one of our draft principles:
The books do not agree on him. George Kittle is a consensus pick — every book within 8.9 picks of 93. That 8.9-pick gap between Yahoo and Underdog is the practical thing to act on: in a Underdog-priced room he is available later than his consensus number suggests.
He goes at 93.2 overall on consensus, and the books are far apart — 8.9 picks between cheapest and priciest, which is a real value window. He is latest on underdog and earliest on yahoo: sleeper 92.2, espn 98.1, yahoo 89.2, underdog 114.3, cbs 93.2.
He goes at 93.2 and our board has him 89. That is 4.2 picks of discount on a TE3 projection — you are getting the TE3 outcome at a price the room has set below it.
The case for: a 30% boom rate.
The case against: 2 of 6 seasons flagged as running hot — not simply finishing above expectation, but far enough above it to classify, which is the pattern that regresses; 261.2 career points scored above expectation — real, and not something to underwrite twice; 7 games missed in the anchor season.
The call: take him at his ADP and do not talk yourself out of it.
Ask the Coach about George Kittle Every number in this piece, plus your league's roster and scoring, in one answer.Expected points are computed from realized usage — targets, air yards and field position — against league-average conversion, not from projections. Prop records cover 49 graded lines. Projections are anchored to consensus with our engine applied as a capped tilt; the raw engine figure is stated where it differs. Nothing here is betting advice.